- Eklemek veya çıkarmak istediğiniz kriterleriniz için 'Dahil' / 'Hariç' seçeneğini kullanabilirsiniz. Sorgu satırları birbirine 'VE' bağlacı ile bağlıdır. - İptal tuşuna basarak normal aramaya dönebilirsiniz.
Digital technologies can process data much faster and more reliably than humans. Therefore, businesses must ensure a radical transformation in their infrastructure in order to keep up with the competitive environment. When establishing an accounting information system in enterprises, it should be ensured that the system can produce complete and uninterrupted information. However, one consequence of the digitalization process in accounting information systems is that the need for accounting personnel tends to decrease day by day. The aim of this study is to examine the digital developments in a ...Daha fazlası
In recent years, multi-criteria decision-making (MCDM) techniques have expanded the corpus of existing techniques and demonstrated their effectiveness with applications in various fields. In this study, bibliometric analysis was conducted to evaluate the research trend on new ranking-based MCDM methods in the last decade, namely WASPAS, MABAC, EDAS, CODAS, COCOSO, and MARCOS. The various keyword combinations are searched on the Web of Science and the Scopus databases. Bibliometric analysis is carried out in R with the Biblioshiny app for the bibliometrix package. In total, 1,215 related public ...Daha fazlası
Energy poverty and greenhouse gas emissions (GHGs) are two major challenges on the road to sustainable development goals. The main goal of the global policy is to combat GHGs and energy poverty through the transition from fossil fuels to clean and renewable sources. Empirical research with a global or regional focus can offer practical implications for the development of global energy and environmental policies. To this end, this paper estimates the impact of electricity from different sources on energy poverty and GHGs in low-, middle- and high-income countries with annual data. The paper fir ...Daha fazlası
The paper presents a deep learning model for improving customer loyalty management in the business-to-business (B2B) field. In industries where technology is continuously evolving and competition is fierce, it is critical to maintain client loyalty and improve customer satisfaction. To generate a competitive advantage, the project aims to construct a deep learning-supported model to meet these objectives. The research is covered methodologies involving artificial intelligence algorithms such as deep learning to analyze customer behavior and preferences. Customer data was obtained from ERP syst ...Daha fazlası
Sports has emerged as one of the world's major industries. Thus, athlete health is one of the most critical elements influencing the sector's profits and losses. When potential injuries or poor performance are expected, the risks can be reduced by assessing the players' physical health state and performance. Although traditional methods can only provide limited forecasts, machine learning approaches will allow us to take steps to improve athlete performance and avoid potential injury concerns. In this work, modeling was used to forecast athlete injury and poor performance risks using a rule-ba ...Daha fazlası
This paper examines the existence of relationship between international tourist arrivals (TA), and Carbon dioxide emissions per capita (CO2) in Turkey over the period 1960-2015. We also use energy use per capita (EU) and GDP per capita (GDP) as a control variables. The autoregressive distributed lag (ARDL) bounds test approach was applied to analyze the long-run relationship among the variables. The results confirmed the validity of the tourism-induced Environmental Kuznets Curve (EKC) hypothesis. An increased tourism demand increases environmental pollution up to a point where the sector atta ...Daha fazlası
6698 sayılı Kişisel Verilerin Korunması Kanunu kapsamında yükümlülüklerimiz ve çerez politikamız hakkında bilgi sahibi olmak için alttaki bağlantıyı kullanabilirsiniz.